I graduated from Carnegie Mellon University with a B.S. in Statistics and Machine Learning, where I developed a strong interest in AI/ML/NLP/GEN AI, and Software Development.

My research experience has focused on technologies and developer tools powered by large language models. I have built a graphRAG based math-question answer tool that gives textbook reference, as well as a retrieval-augmented code generation tool for smart contracts that combines CoT, RAG, and compiler auto-correction. My most recent internship focuses on developing a personalized pronunciation assessment system using Bayesian Knowledge Tracing Models, in combination with Automatic Speech Recognition.

I also enjoy systems and infrastructure work. I have built cloud-native platforms, distributed storage engines, and microservice-based web crawlers using tools like Go, Node.js, Kubernetes, Redis, and Elasticsearch.

My goal is to design AI tools that help people learn, create, and grow.